Research on Intelligent Modular Process Recombination based on Improved Genetic Algorithm

Abstract

Aiming at the planning problem of the whole process processing route of the irreversible modular process library, a modular process intelligent reorganization method based on improved genetic algorithm was designed. Firstly, the mathematical model of product multi-process route planning problem is established, and the product attribute problem is transformed into the problem of product feasibility modular process reorganization strategy. The two-level modular process retrieval method using target feature matching and feature attribute matching is adopted to improve genetics. The evolutionary algorithm obtains the feasibility modularization process of the product to be processed, and combines the center distance theory to obtain the optimal process route of the product modular process reorganization strategy. Combined with the special application examples of aluminum/copper strip, the feasibility and convergence of the proposed method are verified by simulation analysis.